Building AI more like software
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Mike Murphy
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77 results for Hybrid Cloud
Bringing the power of semantic AI to IBM Db2
Technical notePrabhakar Kudva, Apoorva Nitsure, Petr Novotny, Hong Min, and Donna DillenbergerIBM demonstrates extreme scale for content-aware storage with a 100-billion vector database
NewsPeter Hess- Focus Area
Donating llm-d to the Cloud Native Computing Foundation
NewsPeter HessIBM and Kaggle launch new AI leaderboards for enterprise tasks
NewsMike MurphyAccelerating AI inference with IBM Storage Scale
Technical noteYue Zhu, Radu Stoica, Animesh Trivedi, Jonathan Terner, Frank Schmuck, Jeremy Cohn, Christof Schmitt, Anthony Hsu, Guy Margalit, Vasily Tarasov, Swaminathan Sundararaman, Talia Gershon, and Vincent HsuCtrl+Z for agents
ResearchKim MartineauExpanding AI model training and inference for the open-source community
NewsPeter HessIBM Storage Scale delivers real-world performance: an in-depth analysis
Technical noteBrian Belgodere, Chris Miller, John Lewars, Matthew Klos, Yukio Hayashi Leon, Mara Miranda Bautista, and Olaf WeiserAn AI model with a finger on the time series pulse
ReleaseKim MartineauReimagining storage for the generative AI era
ResearchTalia Gershon, Mike Murphy, Swaminathan Sundararaman, Haris Pozidis, and Khanh NgoIBM and UIUC develop an orchestration system to serve LLMs more efficiently
Technical noteArchit Patke, Saurabh Jha, and Chandra NarayanaswamiAI from deep cloud to far-edge: A flawless end-to-end experience
Technical noteSiddhika Nevrekar, Andreas Kuhmichel, Gaurav Garg, Eric Dulkeith, and Rojan JoseHow analog in-memory computing could power the AI models of tomorrow
ResearchPeter HessThe chips of tomorrow may well take inspiration from the architecture of our brains
ExplainerPeter Hess
